An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime
AbstractThis paper presents an agent-based model of urban crime, mortality, and exogenous population shocks. Agent decision making is built around a career maximization function, with life expectancy as the key independent variable. Individual rationality is bounded by locally held information, creating a strong delineation between an objective and subjective reality. The effects of population shocks are explored using the Crime and Mortality Simulation (CAMSIM), with effects demonstrated to persist across generations. The potential for social simulation as a tool for the integration of theory across multiple disciplines is explored. CAMSIM is available via the web for future research by modelers and other social scientists.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 91.
Date of creation: 11 Nov 2005
Date of revision:
Agent-based modeling; urban geography; crime;
Other versions of this item:
- Michael Makowsky, 2006. "An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(2), pages 7.
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
- R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-19 (All new papers)
- NEP-CMP-2005-11-19 (Computational Economics)
- NEP-GEO-2005-11-19 (Economic Geography)
- NEP-LAW-2005-11-19 (Law & Economics)
- NEP-URE-2005-11-19 (Urban & Real Estate Economics)
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